Results 101 to 110 of about 16,201 (241)

Image Segmentation of Brain MRI Based on LTriDP and Superpixels of Improved SLIC

Brain Science, 2020
Non-uniform gray distribution and blurred edges often result in bias during the superpixel segmentation of medical images of magnetic resonance imaging (MRI).
Yu Wang, Q. Qi, Xuanjing Shen
semanticscholar   +1 more source

GCD‐Net: A Gated and Cross‐Dynamically Enhanced Network for Accurate Extraction of Offshore Raft Aquaculture

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This study proposes a Gated and Cross‐Dynamically Enhanced Network (GCD‐Net) for accurate extraction of offshore raft aquaculture from Sentinel‐2 imagery. GCD‐Net integrates novel gated residual blocks, cross‐guided attention, and dynamic attention ASPP modules to enhance feature representation and boundary precision.
Yu Wang, Lianwei Li, Cunjin Xue, Zhi Zheng, Shiyu Wu   +4 more
wiley   +1 more source

What makes for effective detection proposals?

, 2015
Current top performing object detectors employ detection proposals to guide the search for objects, thereby avoiding exhaustive sliding window search across images.
Benenson, Rodrigo, Dollár, Piotr, Hosang, Jan, Schiele, Bernt   +3 more
core   +1 more source

Detection of Hypergranulation Tissue in Chronic Wound Images Using Artificial Intelligence Algorithms

Wound Repair and Regeneration, Volume 34, Issue 1, January/February 2026.
ABSTRACT Hypergranulation in chronic wounds reflects impaired healing, leading to delayed recovery, increased risk of infection and higher treatment costs for healthcare systems. Despite its impact, hypergranulation is often misidentified in the early stages, hindering timely intervention. This study presents a deep learning‐based method to distinguish
David Reifs, Lorena Casanova, Ramon Reig‐Bolaño, Andrea Coda   +3 more
wiley   +1 more source

Robust superpixels using color and contour features along linear path [PDF]

Computer Vision and Image Understanding, 2018
Superpixel decomposition methods are widely used in computer vision and image processing frameworks. By reducing the set of pixels to process, the computational burden can be drastically reduced.
Rémi Giraud, Vinh-Thong Ta, N. Papadakis   +2 more
semanticscholar   +1 more source

Automatic inventory of retaining walls from aerial lidar data using 3D deep learning

Civil Engineering Design, Volume 7, Issue 4, Page 178-189, December 2025.
Abstract Infrastructure management along highways and railways requires inventories of critical structures like retaining walls, which traditionally rely on manual inspection and documentation. Unfortunately, data in infrastructure databases is often incomplete.
Ivo Gasparini, Souhir Ben Souissi, Dirk Proske   +2 more
wiley   +1 more source

Incorporating Superpixel Context for Extracting Building From High-Resolution Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Extracting building from high-resolution (HR) remote sensing imagery (RSI) serves a variety of areas, such as smart city, environment management, and emergency disaster services.
Fang Fang, Kang Zheng, Shengwen Li, Rui Xu, Qingyi Hao, Yuting Feng, Shunping Zhou   +6 more
doaj   +1 more source

A Custom Deep Learning Model With Explainable Artificial Intelligence for Interpretable Brain Tumor Classification

Engineering Reports, Volume 7, Issue 12, December 2025.
A custom deep learning model with explainable artificial intelligence for interpretable brain tumor classification. ABSTRACT Brain tumors are critical neurological disorders affecting mankind. The Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans play an important role in diagnosing brain tumors, but need an expert interpretation ...
Duppala Rohan, Boddepalli Yaswanth, V. S. Sai Vardhan, G. Pradeep Reddy, K. Purna Prakash, Y. V. Pavan Kumar   +5 more
wiley   +1 more source

Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science

Modern Agriculture, Volume 3, Issue 2, December 2025.
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song, Haifeng Liang, Bingjie Lu, Jing Guo, Yuan Gao, Xiao Hu, Manlin Yang, Xiaofan Li, Zhenyu Wang, Yongqi Chen, Yinyin Zhang, Shen Su, Zhangyun Gao, Shijie Li, Ping Chen, Jing Wang, Wanneng Yang, Hui Feng   +17 more
wiley   +1 more source

Image segmentation using dense and sparse hierarchies of superpixels

Pattern Recognition, 2020
We investigate the intersection between hierarchical and superpixel image segmentation. Two strategies are considered: (i) the classical region merging, that creates a dense hierarchy with a higher number of levels, and (ii) the recursive execution of ...
F. L. Galvão, S. Guimarães, A. Falcão
semanticscholar   +1 more source